Sustaining Competitive Advantage Through Corporate Environmental Performance

This research investigates the relationship between a firm's environmental efforts and the sustainability of its competitive advantage by analyzing the effects of change in firm environmental performance on the persistence of profitability growth. We find that environmental resources allow a firm with superior financial performance to sustain its competitive advantage, and also complement the efforts of a poorly performing firm to hasten recovery from inferior financial performance. Our findings further indicate that firms attain such positive effects through enhanced profit margins resulting from improved environmental performance. Additionally, we observe that a corporate strategy of improving environmental performance demonstrates management's responsibility to maximize the shareholder wealth of a well‐performing firm. The results provide valuable insights to align environmental activities towards developing unique resources for sustaining the competitive advantage. The study provides an empirical support for creating economic value by benefiting the environment. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment     

Purchasing Power Parity and the Taylor Rule

It is well known that there is a large degree of uncertainty around Rogoff's consensus half‐life of the real exchange rate. To obtain a more efficient estimator, we develop a system method that combines the Taylor rule and a standard exchange rate model to estimate half‐lives. Further, we propose a median unbiased estimator for the system method based on the generalized method of moments with non‐parametric grid bootstrap confidence intervals. Applying the method to real exchange rates of 18 developed countries against the US dollar, we find that most half‐life estimates from the single equation method fall in the range of 3–5 years, with wide confidence intervals that extend to positive infinity. In contrast, the system method yields median‐unbiased estimates that are typically shorter than 1 year, with much sharper 95% confidence intervals. Our Monte Carlo simulation results are consistent with an interpretation of these results that the true half‐lives are short but long half‐life estimates from single‐equation methods are caused by the high degree of uncertainty of these methods. Copyright © 2014 John Wiley & Sons, Ltd.     

Effects of Environmental Regulations on Trade Flow in Manufacturing Sectors: Comparison of Static and Dynamic Effects of Environmental Regulations

This study analyzes environmental regulations and trade performance in manufacturing sectors under static and dynamic conditions. We investigate environmental innovation induced by environmental regulations and the spillover effect on manufacturing sectors, determine whether the spillover effect offsets any negative effect found under static conditions and analyze environmental regulations on the import side. For this, we formulate a trade model that incorporates the environmental innovation equation. We analyze environmental tax, energy tax and the Emissions Trading System (ETS) using strong, balanced panel data from 19 OECD countries for 1996–2009. The results reveal that the static effect of energy tax on exports is negative, but the dynamic effect is positive; however, the positive effect does not offset the negative effect. In short, environmental tax and energy tax decrease the international competitiveness of the manufacturing sectors. Environmental tax and energy tax limit imports, especially in the high‐energy consumption group. The analyses of the ETS further complicate the overall picture. It shows that the further research on the effects of ETS on manufacturing firms' competitiveness over their foreign competitors in the global is required. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

The moderating effect of innovation protection mechanisms on the competitiveness of service firms

This empirical study examines the effectiveness of innovation protection mechanisms (IPMs) in capturing returns from innovation in service firms. To identify their effects, we set five types of IPMs (patents, other intellectual property rights, speed to market, secrecy, and complementary resources) as a moderator of the relationships between the innovation and firm competitiveness. Through a sample of service firms from the Korean Innovation Survey, the results of this study indicated that firm competitiveness cannot be influenced by service innovation alone but rather it is influenced by service innovation used in conjunction with IPMs other than patents. The results contribute to understanding innovation protection strategies for better competitiveness of service firms.     

Consumer credit-risk models via machine-learning algorithms

We apply machine-learning techniques to construct nonlinear nonparametric forecasting models of consumer credit risk. By combining customer transactions and credit bureau data from January 2005 to April 2009 for a sample of a major commercial bank’s customers, we are able to construct out-of-sample forecasts that significantly improve the classification rates of credit-card-holder delinquencies and defaults, with linear regression R²’s of forecasted/realized delinquencies of 85%. Using conservative assumptions for the costs and benefits of cutting credit lines based on machine-learning forecasts, we estimate the cost savings to range from 6% to 25% of total losses. Moreover, the time-series patterns of estimated delinquency rates from this model over the course of the recent financial crisis suggest that aggregated consumer credit-risk analytics may have important applications in forecasting systemic risk.     

Regression Analysis under Probabilistic Multi‐Linkage

Linkage errors can occur when probability‐based methods are used to link records from two distinct data sets corresponding to the same target population. Current approaches to modifying standard methods of regression analysis to allow for these errors only deal with the case of two linked data sets and assume that the linkage process is complete, that is, all records on the two data sets are linked. This study extends these ideas to accommodate the situation when more than two data sets are probabilistically linked and the linkage is incomplete.     

Income and Democracy: A Smooth Varying Coefficient Redux

Acemoglu et al. (American Economic Review 2008; 98 : 808–842) find no effect of income on democracy when controlling for fixed effects in a dynamic panel model. Work by Moral‐Benito and Bartolucci (Economics Letters 2012; 117 : 844–847) and Cervellati et al. (American Economic Review 2014; 104 : 707–719) suggests that the original model might have been misspecified and proposes alternative specifications instead. We formally test these parametric specifications by implementing Lee's (Journal of Econometrics 2014; 178 : 146–166) dynamic panel test of linear parametric specifications against a general class of nonlinear alternatives robustly and reject all these specifications. However, using a more flexible model proposed by Cai and Li (Econometric Theory 2008; 24 : 1321–1342) we find that the relationship between income and democracy appears to be mediated by education, but results are not statistically significant. Copyright © 2016 John Wiley & Sons, Ltd.     

Auditor selection and corporate social responsibility

This study examines the association between the selection of an industry‐specialist auditor and corporate social responsibility (CSR). We find that firms with higher CSR ratings are more likely to hire industry‐specialist auditors (national‐level industry leaders, city‐level industry leaders or joint city‐national industry leaders). Moreover, firms with better CSR performance related to product quality and the environment in controversial industries are found to select non‐specialized auditors. The results suggest that such firms may overinvest in CSR activities associated with the environment and product issues to disguise the sin nature of their manufactured goods, and simultaneously engage low quality auditors perhaps to avoid full disclosure of potential environmental and legal liabilities. Overall, we conclude that CSR is associated with the non‐controversial firms ensuring high quality financial reporting in response to societal expectations, and thus CSR firms in such industries have strong incentives to engage industry‐specialist auditors.     

Exploring the comparative importance of online hotel reviews’ heuristic attributes in review helpfulness: a conjoint analysis approach

Online travel reviews have become increasingly important as a result of the intangible and heterogeneous characteristics of the tourism industry as well as the recent diffusion of social media. This exploratory case study intends to examine the comparative importance of the six heuristic attributes (reviewer location, reviewer level, reviewer helpful vote, review rating, review length, and review photo) with respect to review helpfulness in the online hotel review context. Moreover, the salience of the individual levels within each review attribute and the importance of the attributes in positive and negative review-rating groups are compared. In total, 1,158 reviews of a hotel on TripAdvisor were collected and analyzed through conjoint analyses. This study found that the review rating and reviewer helpful vote attributes are the two most important factors. Finally, three major propositions are suggested based on findings of the study, and several theoretical and managerial implications are discussed.